Release v1.4.0

What's New In v1.4.0

• Updated implementation for yolo layer with multiple changes and bugfixes
• Support for yolov4-tiny and yolov4-tiny-3l
• C++ client example (for previous versions <= v1.3.0, PRs welcome)
• Shared memory support for python client
• Support for TensorRT 8.0 (NGC 21.10)
• Performance improvements by ~19% (mainly due to new plugin and TRT 8)
• Support for Triton Inference Server 21.10

Release v1.3.0

What's New In v1.3.0

• Fixed confidence calculation (postprocessing)
• Update client to display confidence
• Update client to output amount of raw detection boxes

Release v1.2.0

What's New In v1.2.0

• Update to tensorrt container version 20.08
• Added detailed benchmarks
• Added python client with dummy mode, image mode and video mode

Release v1.1.0

What's New In v1.1.0

• Replaced MISH plugin layers by standard TensorRT activations resulting in 60% inference speedup

Release v1.0.0

Initial release

Features

• Deployment to Triton Inference Server
• Execution with trtexec
• FP16 precision